Junior Data Engineer / Young Graduate – Modern Data Platforms

As a Junior Data Engineer, you will contribute to the development and implementation of modern data platforms while working alongside experienced Data Engineers and Data Architects. Depending on the project, you may work with Databricks, TimeXtender, Microsoft Fabric or another Modern Data Platform. Your responsibilities may include: Building and maintaining data pipelines Developing ETL / ELT workflows Integrating data from different sources and APIs Writing and optimizing SQL queries Developing data transformations using SQL, Python, Spark or dbt Supporting the development of data lakes, lakehouses and data warehouses Performing data quality checks and troubleshooting data issues Working with cloud environments, particularly Microsoft Azure Documenting data flows and technical solutions Collaborating with Data Engineers, Data Architects and BI teams What we are looking for We are looking for candidates with strong technical fundamentals and a genuine interest in Data Engineering and Modern Data Platforms. You should have knowledge of several of the following: SQL – good understanding required Python Relational databases Data modelling fundamentals ETL / ELT concepts Data Warehousing concepts APIs and data integration Git Cloud fundamentals Knowledge or first experience with one or more of the following is a plus: Databricks Microsoft Fabric TimeXtender Azure Data Factory Azure Data Lake Storage dbt Apache Spark / PySpark Delta Lake Power BI Snowflake Synapse Analytics You do not need professional experience with all of these technologies. Academic projects, internships, personal projects, certifications and hands-on labs are also considered valuable experience. Your profile We are looking for someone who: Recently graduated or has up to 2 years of professional experience Holds a degree in Computer Science, Data, Engineering, Business Engineering, Mathematics or a related field Has a strong interest in Data Engineering, Cloud and Analytics Has good analytical and problem-solving skills Is comfortable learning new technologies Has a good understanding of databases and SQL Is able to communicate clearly with technical teams Has a good professional level of English Is curious, proactive and eager to develop technical skills Nice to have Knowledge or exposure to: Medallion architecture: Bronze / Silver / Gold Dimensional modelling / Star Schema Data Vault Azure DevOps CI/CD Data governance Power BI Machine Learning or AI concepts Cloud certifications such as Microsoft Azure, Databricks or Fabric Personal or academic Data Engineering projects Work Location: Remote in Tunisia